Evidence map›Paper›PMID 41584125›Full record

ArticleRSC advances2026

Multi-responsive upconversion/organic porous silicon nanocomposite for controlled drug release

Xiaotao Wang, Zhihao Bi, Yonggui Liao, Chak-Yin Tang, Xuefeng Li, Wing-Cheung Law

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in RSC advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Xiaotao WangHubei Provincial Key Laboratory of Green Materials for Light Industry, Collaborative Innovation Center for Green Light-weight Materials and Processing, School of Materials Science and Engineering, Hubei University of Technology Wuhan 430068 China.
Zhihao BiHubei Provincial Key Laboratory of Green Materials for Light Industry, Collaborative Innovation Center for Green Light-weight Materials and Processing, School of Materials Science and Engineering, Hubei University of Technology Wuhan 430068 China.
Yonggui LiaoKey Laboratory for Material Chemistry for Energy Conversion and Storage, Ministry of Education, Hubei Engineering Research Center for Biomaterials and Medical Protective Materials, Hubei Key Laboratory of Material Chemistry and Service Failure, School of Chemistry and Chemical Engineering, Huazhong University of Science and Technology Wuhan 430074 China.ORCID https://orcid.org/0000-0003-2943-1501
Chak-Yin TangDepartment of Industrial and Systems Engineering, The Hong Kong Polytechnic University Hung Hom, Kowloon Hong Kong China roy.law@polyu.edu.hk.ORCID https://orcid.org/0000-0003-2577-024X
Xuefeng LiHubei Provincial Key Laboratory of Green Materials for Light Industry, Collaborative Innovation Center for Green Light-weight Materials and Processing, School of Materials Science and Engineering, Hubei University of Technology Wuhan 430068 China.
Wing-Cheung LawDepartment of Industrial and Systems Engineering, The Hong Kong Polytechnic University Hung Hom, Kowloon Hong Kong China roy.law@polyu.edu.hk.ORCID https://orcid.org/0000-0003-3855-6170

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report the synthesis of an organic/inorganic architecture, a rare-earth upconversion nanoparticle (UCNP)-based core with organic porous silicon shell nanocapsules, that enables visible and ultraviolet light emission under 980 nm near-infrared (NIR) irradiation for photodegradation. A mesoporous organosilica shell containing disulfide bonds was uniformly coated onto UCNP cores

Identifiers

PMID41584125
PMCPMC12829441

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.